Artificial Intelligence has advanced considerably in recent years, with algorithms achieving human-level performance in diverse tasks. However, the true difficulty lies not just in training these models, but in deploying them efficiently in real-world applications. This is where inference in AI comes into play, arising as a primary concern for rese
Deducing with Artificial Intelligence: A Disruptive Phase revolutionizing Ubiquitous and Optimized Computational Intelligence Integration
Artificial Intelligence has made remarkable strides in recent years, with systems achieving human-level performance in diverse tasks. However, the main hurdle lies not just in developing these models, but in deploying them effectively in everyday use cases. This is where AI inference takes center stage, emerging as a primary concern for scientists
Computing by means of Neural Networks: A Transformative Cycle of High-Performance and Inclusive Intelligent Algorithm Ecosystems
Artificial Intelligence has achieved significant progress in recent years, with models matching human capabilities in diverse tasks. However, the real challenge lies not just in developing these models, but in utilizing them optimally in everyday use cases. This is where machine learning inference takes center stage, emerging as a critical focus fo